Triple
T10787157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Province, Zambia |
E254479
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Choma |
E885888
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Choma | Statement: [Southern Province, Zambia, containsCity, Choma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Choma Context triple: [Southern Province, Zambia, containsCity, Choma]
-
A.
Choma
chosen
Choma is a town in southern Zambia that serves as an important administrative and commercial center for the surrounding agricultural region.
-
B.
Chámeza
Chámeza is a small rural municipality located in the Casanare Department of eastern Colombia, known for its agricultural activities and foothill landscapes of the Eastern Andes.
-
C.
Chonchi
Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
-
D.
Chopok
Chopok is a prominent mountain peak in central Slovakia’s Low Tatras range, popular for hiking, skiing, and panoramic alpine views.
-
E.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d5422481908d7ab833c6cbc879 |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84ddd6f48190a11eae9233d3ef9f |
completed | April 14, 2026, 6:18 p.m. |
Created at: April 8, 2026, 9:17 p.m.